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Millimeter wave beam alignment using deterministic compressive sensing

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posted on 28.03.2022, 19:25 by Erfan Khordad
Designing the beamforming vectors for channel estimation in mmWave systems is challenging becauseof the narrow beams required and the small number of useful directions. The state of the art employs random or structured random beamforming to leverage compressive sensing techniques to solve this problem using a small number of measurements. In this dissertation, inspired by existing deterministic sensing matrices from the theory of compressive sensing, two novel deterministic compressive sensing approaches are proposed for channel estimation in mmWave systems. In the proposed approaches, the Kronecker product or row-by-row Kronecker product of existing deterministic sensing matrices are used to design the structure of pilot beam patterns for the beam alignment process. These approaches not only result in significant overhead reduction, but also present improvement in terms of performance for some scenarios.


Table of Contents

1. Introduction -- 2. An overview of compressive sensing -- 3. System model -- 4. Pilot beam pattern design -- 5. Simulation results -- 6. Conclusion -- References.


Bibliography: pages 50-54 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis MRes


MRes, Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award


Principal Supervisor

Stephen V. Hanly


Copyright Erfan Khordad 2019. Copyright disclaimer: http://mq.edu.au/library/copyright




1 online resource (viii, 54 pages) colour illustrations

Former Identifiers

mq:71076 http://hdl.handle.net/1959.14/1270617